AI Agents in Practice: Design, implement, and scale autonomous AI systems for production

• Build production-ready AI agents with hands-on tutorials for diverse industry applications
• Explore multi-agent system architectures with practical frameworks for orchestrator comparison
• Future-proof your AI development with ethical implementation strategies and security patterns
• Purchase of the print or Kindle book includes a free PDF eBook

• Build core agent components such as LLMs, memory systems, tool integration, and context management
• Develop production-ready AI agents using frameworks such as LangChain with code
• Create effective multi-agent systems using orchestration patterns for problem-solving
• Implement industry-specific agents for e-commerce, customer support, and more
• Design robust memory architectures for agents with short- and long-term recall
• Apply responsible AI practices with monitoring, guardrails, and human oversight
• Optimize AI agent performance and cost for production environments

This book is ideal for AI engineers and data scientists looking to move beyond basic LLM implementations to build sophisticated autonomous agents. Software developers and system architects will find practical guidelines for integrating agents into existing tech stacks. Product managers and technical entrepreneurs will gain strategic insights into how AI agents can solve business problems across industries. A basic understanding of machine learning concepts and working knowledge of Python are required to make the most of this book and implement production-ready AI agent systems.